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A deep learning-based seismic frequency extension method using generalized regression neural network
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SHAOFENG ZHANG1, CHONG XU2, TINGCHAO GUO2
Petroleum Reservoir Evaluation and Development | 2026, 16(3) : 607 - 615
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Petroleum Reservoir Evaluation and Development | 2026, 16(3): 607-615
• Oil and Gas Exploration •
A deep learning-based seismic frequency extension method using generalized regression neural network
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SHAOFENG ZHANG1, CHONG XU2, TINGCHAO GUO2
Affiliations
  • 1 International Department, Sinopec Geophysical Corporation, Beijing 100020, China
  • 2 Sinopec Jiangsu Oilfield Company, Nanjing, Jiangsu 210046, China
Published: 2026-05-26 doi: 10.13809/j.cnki.cn32-1825/te.2024337
Outline
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Subei Basin  /  generalized regression neural network  /  deep learning  /  frequency extension  /  logging information
张韶峰, 许冲, 郭廷超. 一种基于广义回归神经网络的深度学习地震拓频方法. 油气藏评价与开发, 2026 , 16 (3) : 607 -615 . DOI: 10.13809/j.cnki.cn32-1825/te.2024337
SHAOFENG ZHANG, CHONG XU, TINGCHAO GUO. A deep learning-based seismic frequency extension method using generalized regression neural network[J]. Petroleum Reservoir Evaluation and Development, 2026 , 16 (3) : 607 -615 . DOI: 10.13809/j.cnki.cn32-1825/te.2024337
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Year 2026 volume 16 Issue 3
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doi: 10.13809/j.cnki.cn32-1825/te.2024337
  • Receive Date：2025-02-11
  • Online Date：2026-10-30
  • Published：2026-05-26
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History
  • Received：2025-02-11
Affiliations
    1 International Department, Sinopec Geophysical Corporation, Beijing 100020, China
    2 Sinopec Jiangsu Oilfield Company, Nanjing, Jiangsu 210046, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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